如何在Sklearn中执行onehotcoding，获取valu

Question

我刚开始学习机器学习，当我练习其中一个任务时，我得到了价值错误，但我遵循了和老师一样的步骤。

我得到值错误，请帮助。

dff公司

     Country    Name
 0     AUS      Sri
 1     USA      Vignesh
 2     IND      Pechi
 3     USA      Raj

首先我表演了标签编码

X=dff.values
label_encoder=LabelEncoder()
X[:,0]=label_encoder.fit_transform(X[:,0])

out:
X
array([[0, 'Sri'],
       [2, 'Vignesh'],
       [1, 'Pechi'],
       [2, 'Raj']], dtype=object)

然后对同一个X执行一个热编码

onehotencoder=OneHotEncoder( categorical_features=[0])
X=onehotencoder.fit_transform(X).toarray()

我得到以下错误：

ValueError                                Traceback (most recent call last)
<ipython-input-472-be8c3472db63> in <module>()
----> 1 X=onehotencoder.fit_transform(X).toarray()

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\data.py in fit_transform(self, X, y)
   1900         """
   1901         return _transform_selected(X, self._fit_transform,
-> 1902                                    self.categorical_features, copy=True)
   1903 
   1904     def _transform(self, X):

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\data.py in _transform_selected(X, transform, selected, copy)
   1695     X : array or sparse matrix, shape=(n_samples, n_features_new)
   1696     """
-> 1697     X = check_array(X, accept_sparse='csc', copy=copy, dtype=FLOAT_DTYPES)
   1698 
   1699     if isinstance(selected, six.string_types) and selected == "all":

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
    380                                       force_all_finite)
    381     else:
--> 382         array = np.array(array, dtype=dtype, order=order, copy=copy)
    383 
    384         if ensure_2d:

ValueError: could not convert string to float: 'Raj'

请编辑我的问题有什么问题，提前谢谢！